Method and device for determining stratigraphic mapping among multiple wells based on logging-while-drilling data

Abstract

The invention provides a multi-well stratigraphic mapping determination method and device based on logging-while-drilling data. The method comprises the steps that at least one kind of logging-while-drilling data of at least one adjacent well of a target well is obtained; determining a maximum similar attribute solution between the target well and the adjacent well according to the logging-while-drilling data corresponding to the target well and the logging-while-drilling data corresponding to the adjacent well; and determining stratigraphic mapping between the target well and the adjacent well according to the maximum similar attribute solution. According to the multi-well stratum mapping determination method based on the logging-while-drilling data provided by the embodiment of the invention, the strata among the multiple wells can be mapped more accurately, so that the geosteering workload is effectively reduced, and finally, the drilling rate of a high-quality reservoir is improved.

Description

Technical Field

[0001] The present invention relates to the field of geophysical exploration technology, particularly to the field of logging while drilling technology, and more particularly to a method and device for determining multi-well inter-stratum mapping based on logging while drilling data. Background Art

[0002] With the increasing demand for oil and gas resources and the reduction of remaining resources that are easy to develop, the focus of oil and gas field development has gradually shifted to harsh environments such as offshore and deserts, or unconventional oil and gas reservoirs such as low porosity and low permeability, thin layers, marginal oil and gas reservoirs, and shale oil and gas. The development form and geological conditions of oil and gas reservoirs have led to an increasing number of high-angle deviated wells, extended reach wells, and horizontal wells in drilling operations. Under increasingly complex geological conditions, logging while drilling technology, also known as precision drilling technology, plays an increasingly important role. It provides high-quality measurement and control technology services for drilling projects such as horizontal wells to focus on geological engineering goals and achieve high-quality and cost-effective oil and gas field development.

[0003] Geological guidance drilling is the most important link in precision drilling. Geological guidance drilling is a process technology that identifies geological targets in real time during drilling and guides the drill bit to drill towards the geological target. Horizontal wellbore trajectory control is a drilling technology that changes from traditional geometric control to geological guidance target control. It is an important technical means to improve the reservoir drilling rate and success rate of horizontal wells in complex oil and gas reservoirs. However, in the existing technology, the relevant products and services of geo-steering are based on manual judgment and evaluation. Geological guidance technology still relies heavily on manual experience to judge the stratigraphic mapping between the current well and the adjacent wells, so as to know the drilling method of the current well. This method often has the disadvantages of slow speed, easy to make mistakes, inconsistent guidance instructions for multiple shifts, and low accuracy of guidance instructions. It may even cause serious accidents such as instrument falling into the well, and this geo-steering method will cause excessive workload for geo-steering personnel. Summary of the invention

[0004] One object of the present invention is to provide a method for determining stratigraphic mapping between multiple wells based on logging while drilling data, which method can more accurately determine stratigraphic mapping between multiple wells, thereby effectively reducing the workload of geosteering and improving the drilling rate of high-quality reservoirs. Another object of the present invention is to provide a device for determining stratigraphic mapping between multiple wells based on logging while drilling data. Another object of the present invention is to provide a computer device, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above-mentioned method for determining stratigraphic mapping between multiple wells based on logging while drilling data when executing the computer program. Another object of the present invention is to provide a readable medium, on which a computer program is stored, and when the computer program is executed by the processor, the steps of the above-mentioned method for determining stratigraphic mapping between multiple wells based on logging while drilling data are implemented.

[0005] In order to achieve the above objectives, the present invention discloses, on one hand, a method for determining multi-well inter-stratum mapping based on logging while drilling data, comprising:

[0006] Acquire at least one kind of logging while drilling data of at least one adjacent well of the target well;

[0007] Determine the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells;

[0008] A stratigraphic mapping between the target well and the adjacent wells is determined according to the maximum similarity attribute solution.

[0009] In one embodiment, determining the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells includes:

[0010] Determine the correlation coefficient between the target well and the adjacent well according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent well;

[0011] The maximum similarity attribute solution is calculated according to the correlation coefficient.

[0012] In one embodiment, determining the correlation coefficient between the target well and the adjacent well according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent well includes:

[0013] Determine the window length and step length of the sliding scan window according to the formation thickness of the adjacent well;

[0014] A depth sliding comparison operation is performed on the same type of logging while drilling data of the target well and the adjacent well according to the window length and the step length to determine the correlation coefficient.

[0015] In one embodiment, a depth sliding comparison operation is performed on the same type of LWD data of the target well and the adjacent well according to the window length and the step length to determine the correlation coefficient, including:

[0016] Calculating respectively the first standard deviation of the LWD data of the target well, the second standard deviation of the LWD data of the adjacent well, and the covariance between the LWD data of the target well and the LWD data of the adjacent well according to the depth sliding comparison operation result;

[0017] The correlation coefficient is calculated according to the first standard deviation, the second standard deviation and the covariance.

[0018] In one embodiment, the window length and the step length are positively correlated with the formation thickness.

[0019] In one embodiment, the window length is greater than the sum of thicknesses of two adjacent formations.

[0020] In one embodiment, determining the stratigraphic mapping between the target well and the adjacent well according to the maximum similarity attribute solution includes:

[0021] Performing stratigraphic annotation on the adjacent wells to generate a first stratigraphic annotation;

[0022] Determining the stratigraphic annotation of the adjacent well corresponding to the current stratigraphic annotation of the target well according to the maximum similarity attribute solution to generate a second stratigraphic annotation;

[0023] The stratigraphic map is generated according to the first stratigraphic annotation and the second stratigraphic annotation.

[0024] The present invention also discloses a device for determining multi-well inter-stratum mapping based on logging while drilling data, comprising:

[0025] A logging while drilling data acquisition module, used to acquire at least one type of logging while drilling data of at least one adjacent well of the target well;

[0026] An attribute solution determination module, used to determine the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells;

[0027] A mapping determination module is used to determine the formation mapping between the target well and the adjacent well according to the maximum similarity attribute solution.

[0028] In one embodiment, the attribute solution determination module includes:

[0029] A correlation coefficient determination unit, used to determine the correlation coefficient between the target well and the adjacent well according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent well;

[0030] The attribute solution calculation unit is used to calculate the maximum similarity attribute solution according to the correlation coefficient.

[0031] In one embodiment, the correlation coefficient determination unit includes:

[0032] A parameter determination unit, used to determine the window length and step length of the sliding scan window according to the formation thickness of the adjacent well;

[0033] A depth sliding unit is used to perform a depth sliding comparison operation on the same type of logging while drilling data of the target well and the adjacent well according to the window length and the step length to determine the correlation coefficient.

[0034] In one embodiment, the depth sliding unit includes:

[0035] A covariance calculation unit, used to calculate the first standard deviation of the LWD data of the target well, the second standard deviation of the LWD data of the adjacent well, and the covariance between the LWD data of the target well and the LWD data of the adjacent well according to the depth sliding comparison operation result;

[0036] A correlation coefficient calculation unit is used to calculate the correlation coefficient according to the first standard deviation, the second standard deviation and the covariance.

[0037] In one embodiment, the window length and the step length are positively correlated with the formation thickness.

[0038] In one embodiment, the window length is greater than the sum of thicknesses of two adjacent formations.

[0039] In one embodiment, the mapping determination module includes:

[0040] A first stratigraphic annotation unit, used for performing stratigraphic annotation on the adjacent well to generate a first stratigraphic annotation;

[0041] A second formation annotation unit, used for determining the formation annotation of the adjacent well corresponding to the current formation of the target well according to the maximum similarity attribute solution, so as to generate a second formation annotation;

[0042] A stratum map generating unit is used to generate the stratum map according to the first stratum annotation and the second stratum annotation.

[0043] The present invention also discloses a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor.

[0044] When the processor executes the program, the method described above is implemented.

[0045] The present invention also discloses a computer readable medium having a computer program stored thereon.

[0046] When the program is executed by a processor, the method described above is implemented.

[0047] From the above description, it can be seen that the method and device for determining multi-well stratigraphic mapping based on LWD data provided in an embodiment of the present invention first obtain at least one LWD data of at least one neighboring well of the target well; then, determine the maximum similarity attribute solution between the target well and the neighboring wells based on the LWD data corresponding to the target well and the LWD data corresponding to the neighboring wells; finally, determine the stratigraphic mapping between the target well and the neighboring wells based on the maximum similarity attribute solution.

[0048] By adopting the method for determining formation mapping between multiple wells based on logging while drilling data provided by the embodiment of the present invention, the formations between multiple wells can be mapped more accurately, thereby effectively reducing the workload of geosteering and ultimately improving the drilling rate of high-quality reservoirs. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 It is a flow chart of a method for determining multi-well inter-stratum mapping based on logging while drilling data in Embodiment 1 of the present invention;

[0051] Figure 2 Schematic diagram of the process of step 200 of the method for determining multi-well inter-stratum mapping based on logging while drilling data in the first embodiment of the present invention;

[0052] Figure 3 Schematic diagram of the process of step 201 of the method for determining multi-well inter-stratum mapping based on logging while drilling data in the first embodiment of the present invention;

[0053] Figure 4 It is a flow chart of step 2012 of a method for determining formation mapping between multiple wells based on logging while drilling data in the first embodiment of the present invention;

[0054] Figure 5 3 is a flow chart of step 300 of a method for determining formation mapping between multiple wells based on logging while drilling data in the first embodiment of the present invention;

[0055] Figure 6 It is a flow chart of a method for determining multi-well inter-stratum mapping based on logging while drilling data in Embodiment 2 of the present invention;

[0056] Figure 7 This is a well logging GR curve diagram in the third embodiment of the present invention;

[0057] Figure 8 This is a schematic diagram of the formation identification result in the third embodiment of the present invention;

[0058] Fig. 9 It is a structural block diagram of a method and device for determining multi-well inter-stratum mapping based on logging while drilling data in Embodiment 4 of the present invention;

[0059] Fig.10 It is a schematic diagram of the structure of an electronic device in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0062] Embodiment 1

[0063] In this embodiment, Figure 1 As shown, a method for determining multi-well inter-stratum mapping based on logging while drilling data is provided, which includes:

[0064] Step 100: Acquire at least one kind of logging while drilling data of at least one adjacent well of the target well;

[0065] It should be noted that the target well may be an oil and gas well currently being drilled while drilling, and its adjacent wells refer to the wells surrounding it. Preferably, wells that are less than 100 meters away from the target well are defined as adjacent wells of the target well.

[0066] In addition, the logging while drilling data in step 100 includes conventional logging such as resistivity, acoustic velocity, neutron porosity, density and some imaging logging, as well as drilling parameters such as drilling pressure, torque, rotation speed, annular pressure, temperature, chemical composition and the like.

[0067] Step 200: determining the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells;

[0068] Specifically, the maximum similarity attribute solution between the LWD data corresponding to the target well and the LWD data corresponding to the adjacent well is obtained, and the maximum similarity attribute solution between the target well and the adjacent well is used as the maximum similarity attribute solution between the target well and the adjacent well. The "attribute" here may include drilling parameters such as resistivity, acoustic velocity, neutron porosity, density, etc.

[0069] Step 300: Determine the stratigraphic mapping between the target well and the adjacent wells according to the maximum similarity attribute solution.

[0070] When implementing step 300, firstly, the adjacent wells are calibrated. On this basis, the specific layer in the adjacent well layer calibration result corresponding to the current drilled layer of the target well is determined according to the maximum similarity attribute solution. All the drilled layers are operated in turn to obtain the stratigraphic mapping between the target well and the adjacent wells.

[0071] In one embodiment, in a method for determining multi-well formation mapping based on LWD data, before step 100, the LWD data of the target well and the neighboring wells need to be preprocessed, specifically including: optimizing the LWD logging and guidance related big data of the work area, unifying the standard digital format, completing data cleaning and purification, annotating the conclusions of the guidance related big data based on the predetermined formation and sweet spot evaluation conclusions, and establishing a hierarchical gradient management mode to realize flexible data asset query, retrieval and editing based on well information, depth and annotation status.

[0072] The method for determining formation mapping between multiple wells based on logging while drilling data provided in an embodiment of the present invention can map the formations between multiple wells more accurately, thereby effectively reducing the workload of geosteering and ultimately improving the drilling rate of high-quality reservoirs.

[0073] In one embodiment, see Figure 2 , step 200 comprises:

[0074] Step 201: determining a correlation coefficient between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells;

[0075] Step 202: Calculate the maximum similarity attribute solution according to the correlation coefficient.

[0076] In step 201 and step 202, the maximum similarity attribute solution can be performed on the correlation coefficient between the target well formation identification conclusion and the comparison well data based on the correlation analysis method. Specifically, the relationship between the LWD data corresponding to the target well and the LWD data corresponding to the adjacent well is determined based on the correlation analysis method.

[0077] Preferably, the Pearson correlation coefficient is used here to measure the linear correlation between the variables (the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells). The value of the Pearson correlation coefficient is between -1 and 1:

[0078] When the correlation coefficient is 1, it means that there is a complete positive linear correlation between the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells, that is, when one variable increases, the other variable also increases.

[0079] When the correlation coefficient is -1, it means that there is a complete negative linear correlation between the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells, that is, when one variable increases, the other variable decreases.

[0080] When the correlation coefficient is 0, it means that there is no linear correlation between the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells.

[0081] In one embodiment, see Figure 3 , step 201 comprises:

[0082] Step 211: determining the window length and step length of the sliding scan window according to the formation thickness of the adjacent well;

[0083] Step 2012: performing a depth sliding comparison operation on the same type of LWD data of the target well and the adjacent wells according to the window length and the step length to determine the correlation coefficient.

[0084] In one embodiment, see Figure 4 , step 2012 includes:

[0085] Step 20121: Calculate the first standard deviation of the LWD data of the target well, the second standard deviation of the LWD data of the adjacent well, and the covariance between the LWD data of the target well and the LWD data of the adjacent well according to the depth sliding comparison operation result;

[0086] Specifically, according to the window length determined in step 2011, the average value of the logging while drilling data corresponding to the current drilling depth is determined, and then, according to the average value of the logging while drilling data corresponding to the current drilling depth of the target well and the average value of the logging while drilling data corresponding to the current drilling depth of the adjacent well, the covariance between the logging while drilling data of the target well and the logging while drilling data of the adjacent well is obtained.

[0087] Step 20122: Calculate the correlation coefficient based on the first standard deviation, the second standard deviation and the covariance.

[0088] In one embodiment, the window length and the step length are positively correlated with the formation thickness.

[0089] That is, the thicker the formation is, the longer the selected window length and step length are.

[0090] In one embodiment, the window length is greater than the sum of thicknesses of two adjacent formations.

[0091] The window length of the instant window covers at least two sets of adjacent strata.

[0092] In one embodiment, see Figure 5, step 300 comprises:

[0093] Step 301: marking the formation of the adjacent well to generate a first formation marking;

[0094] Step 302: determining the formation label of the adjacent well corresponding to the current formation of the target well according to the maximum similarity attribute solution to generate a second formation label;

[0095] Specifically, the depth of the adjacent well corresponding to the current drilling depth of the target well is determined according to the maximum similarity attribute solution, and the adjacent well layer at the depth is mapped to the current layer of the target well.

[0096] Step 303: Generate the stratigraphic map according to the first stratigraphic annotation and the second stratigraphic annotation.

[0097] According to the method of step 301 and step 302, all the layers encountered by the current well are determined, and the layers are mapped with the layers (at least one layer) of the adjacent wells.

[0098] From the above description, it can be seen that the method for determining multi-well stratigraphic mapping based on LWD data provided in an embodiment of the present invention first obtains at least one LWD data of at least one neighboring well of the target well; then, the maximum similarity attribute solution between the target well and the neighboring wells is determined based on the LWD data corresponding to the target well and the LWD data corresponding to the neighboring wells; finally, the stratigraphic mapping between the target well and the neighboring wells is determined based on the maximum similarity attribute solution.

[0099] The purpose of the present invention is to address the problem that the identification of formation feature points relies heavily on manual judgment, which is slow and prone to errors. Based on this, the present invention provides a method for determining formation mapping between multiple wells based on logging while drilling data. This method can more accurately map the formations between multiple wells, thereby effectively reducing the workload of geological guidance and ultimately improving the drilling rate of high-quality reservoirs.

[0100] Embodiment 2

[0101] An embodiment of the present invention provides a method for determining multi-well stratigraphic mapping based on logging while drilling data. Compared with the prior art, the method for determining multi-well stratigraphic mapping based on logging while drilling data provided by the implementation of the present invention effectively reduces the workload of geological guidance and improves the drilling rate of high-quality reservoirs, thereby achieving cost reduction and efficiency improvement.

[0102] To further illustrate the solution, the present invention also provides a specific application example of a method for determining multi-well inter-stratum mapping based on logging while drilling data. Specifically, Figure 6 As shown, the specific application example includes the following steps:

[0103] S1: Preprocessing of LWD data.

[0104] Specifically, the relevant data of drilling and recording in the work area are optimized, unified into a standard digital format, and data cleaning and purification are completed. According to the previously determined formation and sweet spot evaluation conclusions, the conclusions of the guidance-related big data are annotated, and a hierarchical gradient management model is established to realize flexible data asset query, retrieval and editing based on well information, depth and annotation status.

[0105] S2: Formation identification while drilling.

[0106] Based on the work area guidance related database, the corresponding logging GR data of the comparison well (target well) are sorted out, and the maximum similarity attribute of the formation identification conclusion of the adjacent well and the comparison well data is solved based on the correlation analysis method. The correlation coefficient value of the known logging GR data X(t) and the comparison well logging GR data to be identified Y(t) is defined as:

[0107]

[0108] Among them, S X , S Y is the standard deviation:

[0109]

[0110] Cov(X,Y) is the covariance:

[0111]

[0112] is the mean:

[0113]

[0114] Arranging the above formula, we get:

[0115]

[0116] It is understandable that the correlation coefficient R XY The larger the absolute value of is, the higher the correlation between the target well logging GR data X(t) and the comparison well to be identified GR data Y(t) is, that is, the closer the correlation coefficient is to 1 or -1, the stronger the correlation is.

[0117] Considering that the vertical depths of the same formation in different well data are different, there may be asynchronous correlation between the logging data X(t) and the logging data Y(t) of the comparison well to be identified. The sliding correlation method is used in the calculation. The specific steps are as follows:

[0118] (1) Searching for the peak positions of the well logging data X(t) and the well logging data Y(t) of the comparison well to be identified;

[0119] (2) Based on the principle that the time window covers at least two sets of formations, the data of n points with a window length of X(t) and Y(t) are cross-correlated and the correlation coefficient is calculated;

[0120] (3) Then X(t) is fixed and Y(t) slides left and right continuously with a step size of m. The correlation coefficient of the two sets of data is calculated in each sliding state to obtain the correlation coefficient curve;

[0121] (4) The position of the correlation coefficient with the largest absolute value on the correlation coefficient curve is the position where the logging data of the comparison well to be identified is consistent with the formation of the adjacent well, and the most similar point is the corresponding formation feature point.

[0122] S3: Obtain the optimal formation dip calculation data point.

[0123] The corresponding vertical depth and bathymetric data of the identified formation feature points are obtained as the data points for calculating the optimal formation dip.

[0124] It is understandable that geo-steering drilling is the most important link in precision drilling. It is a key technology for steering personnel to adjust and control the borehole trajectory in real time according to the data while drilling. However, it relies heavily on manual experience and judgment, which is prone to errors and mistakes. The present invention provides a method for determining multi-well inter-stratum mapping based on logging while drilling data. First, based on the previous artificial formation and sweet spot evaluation conclusions, the guidance-related big data is annotated with conclusions; then, based on the correlation analysis method, the maximum similarity attribute of the adjacent well formation identification conclusion and the comparison well data is solved to obtain the corresponding vertical depth and sounding data, thereby effectively reducing the workload of geo-steering.

[0125] Embodiment 3

[0126] In order to further illustrate the technical solution of the present application and prove the correctness and effectiveness of the method for determining multi-well stratigraphic mapping based on logging while drilling data provided by the present application, the present invention is further illustrated by taking a specific block as an example. In this embodiment, the process of the method for determining multi-well stratigraphic mapping based on logging while drilling data is as follows:

[0127] Step P1: Preprocessing of GR data from adjacent well logging

[0128] Obtain the GR data of adjacent well logging, and annotate the GR data based on the previous artificial formation and sweet spot evaluation conclusions, marking the formation stratification information and feature point locations.

[0129] Step P2: Intelligent identification of formations while drilling

[0130] Based on the correlation analysis method, the maximum similarity attribute of the formation identification conclusion of the adjacent well and the comparison well data is solved. The correlation coefficient value of the known logging GR data X(t) and the comparison well logging GR data to be identified Y(t) is defined as:

[0131]

[0132] Among them, S X , S Y is the standard deviation:

[0133]

[0134] Cov(X,Y) is the covariance:

[0135]

[0136] is the mean:

[0137]

[0138] In order to facilitate computer calculation, the above formula is sorted out to obtain:

[0139]

[0140] Correlation coefficient R XY The larger the absolute value of is, the higher the correlation between the logging GR data X(t) and the comparison well GR data to be identified Y(t). The closer the correlation coefficient is to 1 or -1, the stronger the correlation is. In fact, different wells have different vertical depths in the same formation. There is an asynchronous correlation between the logging data X(t) and the comparison well GR data to be identified Y(t). See the attached figure. Figure 7 , the sliding correlation method is used in the calculation, and the specific steps are:

[0141] (1) Searching for the peak positions of the well logging data X(t) and the well logging data Y(t) of the comparison well to be identified;

[0142] (2) Based on the principle that the time window covers at least two sets of strata, the data of X(t) and Y(t) with a window length of 600 points are cross-correlated and the correlation coefficient is calculated;

[0143] (3) Then X(t) is fixed and Y(t) slides continuously left and right in steps of 10. The correlation coefficient of the two sets of data is calculated in each sliding state to obtain the correlation coefficient curve;

[0144] (4) The position with the largest absolute value of the correlation coefficient on the correlation coefficient curve is the position where the logging data of the comparison well to be identified is consistent with the formation of the adjacent well, and the most similar point is the corresponding formation feature point ( Figure 8 4, 5 and 6 depth points in the figure), as shown in the attached Figure 8 shown.

[0145] Step P3: Obtain the optimal formation dip calculation data point

[0146] The vertical depth and sounding data of the identified formation feature points are obtained as the data points for calculating the optimal formation dip.

[0147] Embodiment 4

[0148] Based on the same principle, this embodiment also discloses a multi-well inter-stratum mapping determination device based on logging while drilling data. Fig. 9 As shown, in this embodiment, the device includes:

[0149] The logging while drilling data acquisition module 10 is used to acquire at least one kind of logging while drilling data of at least one adjacent well of the target well;

[0150] An attribute solution determination module 20, for determining the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells;

[0151] The mapping determination module 30 is used to determine the formation mapping between the target well and the adjacent well according to the maximum similarity attribute solution.

[0152] In one embodiment, the attribute solution determination module includes:

[0153] A correlation coefficient determination unit, used to determine the correlation coefficient between the target well and the adjacent well according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent well;

[0154] The attribute solution calculation unit is used to calculate the maximum similarity attribute solution according to the correlation coefficient.

[0155] In one embodiment, the correlation coefficient determination unit includes:

[0156] A parameter determination unit, used to determine the window length and step length of the sliding scan window according to the formation thickness of the adjacent well;

[0157] A depth sliding unit is used to perform a depth sliding comparison operation on the same type of logging while drilling data of the target well and the adjacent well according to the window length and the step length to determine the correlation coefficient.

[0158] In one embodiment, the depth sliding unit includes:

[0159] A covariance calculation unit, used to calculate the first standard deviation of the LWD data of the target well, the second standard deviation of the LWD data of the adjacent well, and the covariance between the LWD data of the target well and the LWD data of the adjacent well according to the depth sliding comparison operation result;

[0160] A correlation coefficient calculation unit is used to calculate the correlation coefficient according to the first standard deviation, the second standard deviation and the covariance.

[0161] In one embodiment, the window length and the step length are positively correlated with the formation thickness.

[0162] In one embodiment, the window length is greater than the sum of thicknesses of two adjacent formations.

[0163] In one embodiment, the mapping determination module includes:

[0164] A first stratigraphic annotation unit, used for performing stratigraphic annotation on the adjacent well to generate a first stratigraphic annotation;

[0165] A second formation annotation unit, used for determining the formation annotation of the adjacent well corresponding to the current formation of the target well according to the maximum similarity attribute solution, so as to generate a second formation annotation;

[0166] A stratum map generating unit is used to generate the stratum map according to the first stratum annotation and the second stratum annotation.

[0167] From the above description, it can be seen that the device for determining multi-well stratigraphic mapping based on LWD data provided in an embodiment of the present invention first obtains at least one LWD data of at least one neighboring well of the target well; then, the maximum similarity attribute solution between the target well and the neighboring wells is determined based on the LWD data corresponding to the target well and the LWD data corresponding to the neighboring wells; finally, the stratigraphic mapping between the target well and the neighboring wells is determined based on the maximum similarity attribute solution.

[0168] By adopting the method for determining formation mapping between multiple wells based on logging while drilling data provided by the embodiment of the present invention, the formations between multiple wells can be mapped more accurately, thereby effectively reducing the workload of geosteering and ultimately improving the drilling rate of high-quality reservoirs.

[0169] Embodiment 5

[0170] The embodiment of the present application also provides a specific implementation of an electronic device capable of implementing all steps in the method for determining multi-well inter-well stratigraphic mapping based on logging while drilling data in the above embodiment, see Fig.10 , electronic equipment specifically includes the following:

[0171] Processor (processor) 1201, memory (memory) 1202, communication interface (CommunicationsInterface) 1203 and bus 1204;

[0172] The processor 1201, the memory 1202, and the communication interface 1203 communicate with each other via the bus 1204; the communication interface 1203 is used to realize information transmission between related devices such as server-side devices, computing units, and client devices.

[0173] The processor 1201 is used to call the computer program in the memory 1202. When the processor executes the computer program, all the steps in the method for determining multi-well inter-stratum mapping based on logging while drilling data in the above embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0174] Step 100: Acquire at least one kind of logging while drilling data of at least one adjacent well of the target well;

[0175] Step 200: determining the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells;

[0176] Step 300: Determine the stratigraphic mapping between the target well and the adjacent wells according to the maximum similarity attribute solution.

[0177] The embodiment of the present application also provides a computer-readable storage medium capable of implementing all the steps of the method for determining multi-well stratigraphic mapping based on logging while drilling data in the above embodiment. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, all the steps of the method for determining multi-well stratigraphic mapping based on logging while drilling data in the above embodiment are implemented. For example, when the processor executes the computer program, the following steps are implemented:

[0178] Step 100: Acquire at least one kind of logging while drilling data of at least one adjacent well of the target well;

[0179] Step 200: determining the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells;

[0180] Step 300: Determine the stratigraphic mapping between the target well and the adjacent wells according to the maximum similarity attribute solution.

[0181] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the hardware + program embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0182] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0183] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0184] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0185] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0186] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0187] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for determining multi-well inter-stratum mapping based on logging while drilling data, characterized in that: include: Acquire at least one kind of logging while drilling data of at least one adjacent well of the target well; Determine the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells; A stratigraphic mapping between the target well and the adjacent wells is determined according to the maximum similarity attribute solution.

2. The method for determining multi-well stratigraphic mapping according to claim 1, characterized in that: Determining the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells, including: Determine the correlation coefficient between the target well and the adjacent well according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent well; The maximum similarity attribute solution is calculated according to the correlation coefficient.

3. The method for determining multi-well stratigraphic mapping according to claim 2, characterized in that: Determining the correlation coefficient between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells, comprising: Determine the window length and step length of the sliding scan window according to the formation thickness of the adjacent well; A depth sliding comparison operation is performed on the same type of logging while drilling data of the target well and the adjacent well according to the window length and the step length to determine the correlation coefficient.

4. The method for determining multi-well stratigraphic mapping according to claim 3, characterized in that: Performing a depth sliding comparison operation on the same type of LWD data of the target well and the adjacent well according to the window length and the step length to determine the correlation coefficient includes: Calculating respectively the first standard deviation of the LWD data of the target well, the second standard deviation of the LWD data of the adjacent well, and the covariance between the LWD data of the target well and the LWD data of the adjacent well according to the depth sliding comparison operation result; The correlation coefficient is calculated according to the first standard deviation, the second standard deviation and the covariance.

5. The method for determining multi-well stratigraphic mapping according to claim 3, characterized in that: The window length and the step length are both positively correlated with the formation thickness.

6. The method for determining multi-well stratigraphic mapping according to any one of claims 3 to 5, characterized in that: The window length is greater than the sum of the thicknesses of two adjacent strata.

7. The method for determining multi-well stratigraphic mapping according to claim 1, characterized in that: Determining a stratigraphic mapping between the target well and the adjacent well according to the maximum similarity attribute solution includes: Performing stratigraphic annotation on the adjacent wells to generate a first stratigraphic annotation; Determining the stratigraphic annotation of the adjacent well corresponding to the current stratigraphic annotation of the target well according to the maximum similarity attribute solution to generate a second stratigraphic annotation; The stratigraphic map is generated according to the first stratigraphic annotation and the second stratigraphic annotation.

8. A device for determining multi-well inter-stratum mapping based on logging while drilling data, characterized in that: include: A logging while drilling data acquisition module, used to acquire at least one type of logging while drilling data of at least one adjacent well of the target well; An attribute solution determination module, used to determine the maximum similarity attribute solution between the target well and the adjacent wells according to the LWD data corresponding to the target well and the LWD data corresponding to the adjacent wells; A mapping determination module is used to determine the formation mapping between the target well and the adjacent well according to the maximum similarity attribute solution.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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